Exploratory Analysis

Upon examining no categorical data is observed in any of the columns. Also, none of the columns seems to have any missing values.

It can be seen that the data has well balanced row vs. column proportions.

Creation and Analysis of Features and Targets

Linear Regression

The R2 accuracy is very high which means the features and targets are linearly dependent.

KNN Regression

Support Vector Regression : Using Multi-Output Regressor

Support Vector Regression : Using Regressor Chain

Decision Tree Regressor

Gradient Boosted Trees - Scikit Learn

Gradient Boostes Trees - LightGBM

Random Forest Model

Overall Predictions

Analysis of Model Performance

Mean Absolute Error (MAE) and Mean Absolute Percentage Error (MAPE) are considered as the suitable error metrics for this analysis.